Experienced Full Stack Customer Solutions Architect – AI Platform Deployment & Operations
At careerzynith, we're revolutionizing the way enterprises build trust in their AI systems by making it easy to test, monitor, and improve models using real-world evaluation frameworks. Our mission is to empower organizations to deploy and operate AI systems with confidence, and we're looking for a talented Customer Solutions Architect to join our Field Engineering team.
**About the Role**
As a Customer Solutions Architect at careerzynith, you'll play a critical role in helping teams deploy and operate our AI platform in production environments. You'll work closely with platform, DevOps, and ML infrastructure teams at leading AI-forward organizations to ensure our platform is running reliably, whether in our managed cloud or in their own environments. Your expertise will be invaluable in enabling evaluation workflows by ensuring the underlying infrastructure is sound.
**Key Responsibilities**
* **Customer Enablement & Support**
+ Act as a trusted advisor to customers deploying and scaling careerzynith in production environments.
+ Lead onboarding and implementation engagements, including assisting with setup of customer-hosted infrastructure, configuration of observability pipelines, evaluation workflows, and integrations with third-party tools.
+ Help debug customer issues across layers (e.g., SDKs, cloud infrastructure, model outputs), coordinating with product and engineering when needed.
+ Own proactive health checks, upgrade support, and reliability best practices for customers running self-hosted deployments.
* **Solution Design & Implementation**
+ Design and document end-to-end customer evaluation pipelines using careerzynith SDKs and APIs.
+ Build technical artifacts (scripts, templates, notebooks) that accelerate onboarding and our ability to support customers, or demonstrate platform capabilities.
+ Consult on architectural decisions, including LLM evaluation, prompt versioning, or how to structure evals for reliability and reproducibility.
* **Internal & Cross-functional Collaboration**
+ Translate real-world usage and customer friction into actionable feedback for our product and engineering teams.
+ Partner with sales, support, and engineering to ensure seamless handoffs from pre-sales to post-sales and back.
+ Contribute to internal runbooks, implementation guides, and technical documentation.
**What We’re Looking For**
* Strong interest in AI technology
* Experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Engineer, Escalation Engineer, Technical Account Manager)
* Fluency in Python or TypeScript and comfort debugging code, APIs, and infrastructure
* Strong grasp of DevOps infrastructure and cloud architecture, including technologies like Docker, Terraform, Kubernetes, and major clouds (AWS, GCP, Azure)
* Ability to explain technical concepts clearly to both engineers and non-technical stakeholders
* Comfortable working autonomously in a fast-paced, startup environment
**Nice to Have**
* Experience with self-hosted or hybrid SaaS deployments
* Familiarity with LLM/AI development workflows and common tools in the ecosystem
* Familiarity with Terraform, CI/CD pipelines, and networking/security best practices
**Why Join careerzynith**
You'll be joining a small, senior team solving one of the most important problems in modern AI development—ensuring reliability. We work with cutting-edge AI teams and move fast to deliver value. You'll have broad ownership, a strong voice in the product, and the opportunity to help define how the world measures AI quality.
**Benefits**
* Medical, dental, and vision insurance
* 401k plan
* Daily lunch, snacks, and beverages
* Flexible time off
* Competitive salary and equity
* AI Stipend
**Equal Opportunity**
careerzynith is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
If you're passionate about AI and ready to join a team that's revolutionizing the industry, apply now to become a Customer Solutions Architect at careerzynith!
Apply for this job
**About the Role**
As a Customer Solutions Architect at careerzynith, you'll play a critical role in helping teams deploy and operate our AI platform in production environments. You'll work closely with platform, DevOps, and ML infrastructure teams at leading AI-forward organizations to ensure our platform is running reliably, whether in our managed cloud or in their own environments. Your expertise will be invaluable in enabling evaluation workflows by ensuring the underlying infrastructure is sound.
**Key Responsibilities**
* **Customer Enablement & Support**
+ Act as a trusted advisor to customers deploying and scaling careerzynith in production environments.
+ Lead onboarding and implementation engagements, including assisting with setup of customer-hosted infrastructure, configuration of observability pipelines, evaluation workflows, and integrations with third-party tools.
+ Help debug customer issues across layers (e.g., SDKs, cloud infrastructure, model outputs), coordinating with product and engineering when needed.
+ Own proactive health checks, upgrade support, and reliability best practices for customers running self-hosted deployments.
* **Solution Design & Implementation**
+ Design and document end-to-end customer evaluation pipelines using careerzynith SDKs and APIs.
+ Build technical artifacts (scripts, templates, notebooks) that accelerate onboarding and our ability to support customers, or demonstrate platform capabilities.
+ Consult on architectural decisions, including LLM evaluation, prompt versioning, or how to structure evals for reliability and reproducibility.
* **Internal & Cross-functional Collaboration**
+ Translate real-world usage and customer friction into actionable feedback for our product and engineering teams.
+ Partner with sales, support, and engineering to ensure seamless handoffs from pre-sales to post-sales and back.
+ Contribute to internal runbooks, implementation guides, and technical documentation.
**What We’re Looking For**
* Strong interest in AI technology
* Experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Engineer, Escalation Engineer, Technical Account Manager)
* Fluency in Python or TypeScript and comfort debugging code, APIs, and infrastructure
* Strong grasp of DevOps infrastructure and cloud architecture, including technologies like Docker, Terraform, Kubernetes, and major clouds (AWS, GCP, Azure)
* Ability to explain technical concepts clearly to both engineers and non-technical stakeholders
* Comfortable working autonomously in a fast-paced, startup environment
**Nice to Have**
* Experience with self-hosted or hybrid SaaS deployments
* Familiarity with LLM/AI development workflows and common tools in the ecosystem
* Familiarity with Terraform, CI/CD pipelines, and networking/security best practices
**Why Join careerzynith**
You'll be joining a small, senior team solving one of the most important problems in modern AI development—ensuring reliability. We work with cutting-edge AI teams and move fast to deliver value. You'll have broad ownership, a strong voice in the product, and the opportunity to help define how the world measures AI quality.
**Benefits**
* Medical, dental, and vision insurance
* 401k plan
* Daily lunch, snacks, and beverages
* Flexible time off
* Competitive salary and equity
* AI Stipend
**Equal Opportunity**
careerzynith is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
If you're passionate about AI and ready to join a team that's revolutionizing the industry, apply now to become a Customer Solutions Architect at careerzynith!
Apply for this job